12 releases covered on ThursdAI · minimax.io ↗
MiniMax announces M3 coding/agentic model with 1M context
MiniMax announced M3, a natively multimodal coding and agentic model with a one-million-token sparse attention context claim and open weights promised soon. Reported numbers include 59 on SWE-bench Pro, and the panel noted MiniMax already has a following for cheap agentic tool calling even as pure coding quality is debated.
MiniMax 2.7 open-source weights discussed as small-model momentum continues
The panel covered MiniMax 2.7 and its open-weights release in the context of small, efficient models becoming genuinely practical for local and specialized agent workflows. The segment focused on capability momentum and how open-weights expectations keep shaping adoption sentiment.
MiniMax M2.7: first self-evolving model hits 56% on SWE-Bench Pro
MiniMax dropped M2.7, billed as the first self-evolving model: it ran 100+ autonomous RL optimization loops and wrote its own agent scaffolding, built by one engineer over four days with zero lines of human code. It scores 56.22% on SWE-Bench Pro, within one point of Opus 4.6's 57.3%, and WolfBench shows it roughly matching Sonnet 4.6 on OpenClaw agent tasks. Not yet open weights, though rumors suggest a release is coming.
MiniMax M-2.5 hits 80.2% SWE-Bench Verified with 10B active params
MiniMax dropped M-2.5 thirty minutes before the show: a 200B-total, 10B-active open-weights model scoring 80.2% on SWE-Bench Verified, approaching Opus 4.6 at roughly 1/20th the cost (~15 cents per task with a 57% win rate over Opus). Trained with MiniMax's decoupled Forge RL framework and optimized for end-to-end task time with fewer tool calls and thinking tokens. Senior researcher Olive Song joined live and revealed the model was still training — they cut a checkpoint for early release.
MiniMax drops Hailuo 2.3 in November
MiniMax released Hailuo 2.3 (referred to as 'Hailuo LLM 2.3' on the show) in November, cited as another strong release from the Chinese labs. It closed out a year in which MiniMax shipped everything from 4M-context LLMs to media models.
MiniMax-01: open model with a 4M token context window
MiniMax (Hailuo) released MiniMax-01 in January with a 4 million token context window, by far the largest context of any open-weights model at the time. It was an early sign of the Chinese-lab open source dominance that defined 2025.
Hailuo 2.3: MiniMax's cinema-grade video generation model
MiniMax's Hailuo team released version 2.3 of its video generation model, pitching cinema-grade output quality. It landed in the same week as MiniMax M2 and Speech 2.6, underlining how broadly MiniMax is shipping across text, voice, and video.
MiniMax M2: open-source agentic model at 8% of Claude's price, 2x speed
MiniMax released M2, an open-source agentic model positioned at roughly 8% of Claude's price while running about twice as fast. Head of Engineering Skyler Miao joined the show for a deep dive, framing M2 as both a model story and a speed story, and the panel read it as part of a broader open-model pressure wave on frontier labs.
MiniMax Speech 2.6: ultra-human voice AI with sub-250ms latency
MiniMax released Speech 2.6, a voice model targeting ultra-human quality with end-to-end latency under 250ms, available through the MiniMax platform API. It slots into the episode's voice arms race alongside Cartesia's Sonic 3.
MiniMax Speech tech report published, called the best TTS out there
MiniMax (Hailuo) published the technical report for MiniMax Speech, its text-to-speech system, which the show described as the best TTS out there. The report details the architecture behind the system on arXiv.
Hailuo Speech-02 TTS API: potentially SOTA emotional voice cloning
Hailuo (MiniMax) released the Speech-02 TTS API, which Alex called potentially state of the art for emotional control and voice cloning quality. It produces nuanced, realistic synthetic voices and was the standout voice release of the week.
MiniMax launches Image-01 text-to-image model at 1/10 the cost
MiniMax released Image-01, a versatile text-to-image model the company positions at roughly one tenth the cost of competing image generation offerings. It is available through MiniMax's hosted platform.
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